Dr Xinhui Ma's Outputs (5)

A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease (2020)
Presentation / Conference Contribution
Rana, S. S., Ma, X., Pang, W., & Wolverson, E. (2020, December). A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease. Presented at 2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), Leicester, United Kingdom

Mild cognitive impairment (MCI) has been described as the intermediary stage before Alzheimer's Disease - many people however remain stable or even demonstrate improvement in cognition. Early detection of progressive MCI (pMCI) therefore can be utili... Read More about A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease.

A subdivision-based implementation of non-uniform local refinement with THB-splines
Presentation / Conference Contribution
Li, Q., Ma, X., Cripps, R., & Lin, P. A subdivision-based implementation of non-uniform local refinement with THB-splines

Paper accepted for 15th IMA International Conference on Mathematics on Surfaces, 2017. Abstract: Local refinement of spline basis functions is an important process for spline approximation and local feature modelling in computer aided design (CAD). T... Read More about A subdivision-based implementation of non-uniform local refinement with THB-splines.

Digital three-dimensional automation of the modified Huddart and Bodenham scoring system for patients with cleft lip and palate
Presentation / Conference Contribution
Ma, X., Martin, C., McIntyre, G., Lin, P., & Mossey, P. Digital three-dimensional automation of the modified Huddart and Bodenham scoring system for patients with cleft lip and palate

© Copyright 2017 American Cleft Palate-Craniofacial Association. Objective: The modified Huddart and Bodenham scoring system assesses maxillary arch constriction and surgical outcomes in cleft lip and palate. This project automates modified Huddart a... Read More about Digital three-dimensional automation of the modified Huddart and Bodenham scoring system for patients with cleft lip and palate.

Intelligent digital twin - machine learning system for real-time wind turbine wind speed and power generation forecasting
Presentation / Conference Contribution
Tuton, E., Ma, X., & Dethlefs, N. (2023, August). Intelligent digital twin - machine learning system for real-time wind turbine wind speed and power generation forecasting. Presented at The 6th International Conference on Renewable Energy and Environment Engineering REEE 2023, Brest , France

Wind power is a key pillar in efforts to decarbonise energy production. However, variability in wind speed and resultant wind turbine power generation poses a challenge for power grid integration. Digital Twin (DT) technology provides intelligent ser... Read More about Intelligent digital twin - machine learning system for real-time wind turbine wind speed and power generation forecasting.

Redefining Digital Twins - A Wind Energy Operations and Maintenance Perspective
Presentation / Conference Contribution
Tuton, E., Ma, X., & Dethlefs, N. (2024, May). Redefining Digital Twins - A Wind Energy Operations and Maintenance Perspective. Presented at The Science of Making Torque from Wind (TORQUE 2024), Florence, Italy

Digital Twin (DT) technology has seen an explosion in popularity, with wind energy no exception. This is particularly true for Operations & Maintenance (O&M) applications. However, this expanded use has been accompanied by loose, conflicting, definit... Read More about Redefining Digital Twins - A Wind Energy Operations and Maintenance Perspective.